JADE-DR-VPP leverages the JADE multi-agent platform to simulate and manage real-time demand response events in Virtual Power Plants. It coordinates intelligent agents to optimize distributed energy resources and load shifts under dynamic grid conditions.
JADE-DR-VPP leverages the JADE multi-agent platform to simulate and manage real-time demand response events in Virtual Power Plants. It coordinates intelligent agents to optimize distributed energy resources and load shifts under dynamic grid conditions.
JADE-DR-VPP is an open-source Java framework that implements a multi-agent system for Virtual Power Plant (VPP) demand response (DR). Each agent represents a flexible load or generation unit that communicates via JADE messaging. The system orchestrates DR events, schedules load adjustments, and aggregates resources to meet grid signals. Users can configure agent behaviors, run large-scale simulations, and analyze performance metrics for energy management strategies.
Who will use JADE-DR-VPP?
Smart grid researchers
Energy system modelers
Utility operators
Graduate students in power engineering
Software developers in energy domain
How to use the JADE-DR-VPP?
Step1: Install Java JDK 8 or higher on your system.
Step2: Clone the repository from GitHub.
Step3: Import the project into your IDE (Eclipse or IntelliJ).
Step4: Configure agent parameters in the config files.
Step5: Build and run the main DR-VPP simulation class.
Step6: Monitor agent logs or integrate with a custom dashboard.
Step7: Analyze output CSV or JSON performance reports.
Platform
mac
windows
linux
JADE-DR-VPP's Core Features & Benefits
The Core Features
Multi-agent demand response orchestration
Real-time JADE messaging between agents
Configurable load and generation agent models
VPP resource aggregation and dispatch
Simulation result export (CSV/JSON)
The Benefits
Scalable agent-based architecture
Modular and extensible codebase
Open-source and free to use
Cross-platform Java implementation
Quick prototyping of DR strategies
JADE-DR-VPP's Main Use Cases & Applications
Academic research on demand response algorithms
Testing Virtual Power Plant coordination strategies